automatic import of python-ipysheet

3 files changed, 336 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..3ab7e6c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/ipysheet-0.7.0.tar.gz
diff --git a/python-ipysheet.spec b/python-ipysheet.spec
new file mode 100644
index 0000000..b4b8e59
--- /dev/null
+++ b/python-ipysheet.spec
@@ -0,0 +1,334 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-ipysheet
+Version:	0.7.0
+Release:	1
+Summary:	Spreadsheet in the Jupyter notebook.
+License:	MIT
+URL:		https://github.com/QuantStack/ipysheet
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/80/9d/9466945e6af30b68dfdbbb36f1ebc3b4353bf7d117bcf678deaaad88d1c7/ipysheet-0.7.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-ipywidgets
+
+%description
+# ipysheet
+
+# WARNING
+
+Due to [Handsontable licensing changes](https://handsontable.com/blog/articles/2019/3/handsontable-drops-open-source-for-a-non-commercial-license) ipysheet is stuck witch the outdated Handsontable version 6.2.2 (open-source).
+We recommend not using ipysheet anymore. We suggest an alternative like [ipydatagrid](https://github.com/bloomberg/ipydatagrid).
+
+Spreadsheet in the Jupyter notebook:
+
+   * Try it out using binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/QuantStack/ipysheet/stable?filepath=docs%2Fsource%2Findex.ipynb)
+   * Or check out the documentation at [https://ipysheet.readthedocs.io/](https://ipysheet.readthedocs.io/en/stable/)
+
+**Create a table and drive a value using ipywidgets:**
+
+![Slider Screencast](docs/source/ipysheet_slider.gif)
+
+**Perform a calculation on slider change:**
+
+![Slider Calculation Screencast](docs/source/ipysheet_slider_calculation.gif)
+
+**Change cell style depending on the value using renderers:**
+
+![Conditional formatting](docs/source/conditional_formatting.png)
+
+**Populate table using cell ranges:**
+
+![Cell Ranges Screencast](docs/source/ipysheet_cell_range.gif)
+
+# Installation
+
+With conda:
+
+```
+$ conda install -c conda-forge ipysheet
+```
+
+With pip:
+
+```
+$ pip install ipysheet
+```
+
+### Development install
+
+Note: You will need NodeJS to build the extension package.
+
+The `jlpm` command is JupyterLab's pinned version of
+[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
+`yarn` or `npm` in lieu of `jlpm` below.
+
+```bash
+# Clone the repo to your local environment
+# Change directory to the ipysheet directory
+# Install package in development mode
+pip install -e .
+# Link your development version of the extension with JupyterLab
+jupyter labextension develop . --overwrite
+# Rebuild extension Typescript source after making changes
+jlpm run build
+```
+
+You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
+
+```bash
+# Watch the source directory in one terminal, automatically rebuilding when needed
+jlpm run watch
+# Run JupyterLab in another terminal
+jupyter lab
+```
+
+With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
+
+By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
+
+```bash
+jupyter lab build --minimize=False
+```
+
+### Development uninstall
+
+```bash
+pip uninstall ipysheet
+```
+
+In development mode, you will also need to remove the symlink created by `jupyter labextension develop`
+command. To find its location, you can run `jupyter labextension list` to figure out where the `labextensions`
+folder is located. Then you can remove the symlink named `ipysheet` within that folder.
+
+
+%package -n python3-ipysheet
+Summary:	Spreadsheet in the Jupyter notebook.
+Provides:	python-ipysheet
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ipysheet
+# ipysheet
+
+# WARNING
+
+Due to [Handsontable licensing changes](https://handsontable.com/blog/articles/2019/3/handsontable-drops-open-source-for-a-non-commercial-license) ipysheet is stuck witch the outdated Handsontable version 6.2.2 (open-source).
+We recommend not using ipysheet anymore. We suggest an alternative like [ipydatagrid](https://github.com/bloomberg/ipydatagrid).
+
+Spreadsheet in the Jupyter notebook:
+
+   * Try it out using binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/QuantStack/ipysheet/stable?filepath=docs%2Fsource%2Findex.ipynb)
+   * Or check out the documentation at [https://ipysheet.readthedocs.io/](https://ipysheet.readthedocs.io/en/stable/)
+
+**Create a table and drive a value using ipywidgets:**
+
+![Slider Screencast](docs/source/ipysheet_slider.gif)
+
+**Perform a calculation on slider change:**
+
+![Slider Calculation Screencast](docs/source/ipysheet_slider_calculation.gif)
+
+**Change cell style depending on the value using renderers:**
+
+![Conditional formatting](docs/source/conditional_formatting.png)
+
+**Populate table using cell ranges:**
+
+![Cell Ranges Screencast](docs/source/ipysheet_cell_range.gif)
+
+# Installation
+
+With conda:
+
+```
+$ conda install -c conda-forge ipysheet
+```
+
+With pip:
+
+```
+$ pip install ipysheet
+```
+
+### Development install
+
+Note: You will need NodeJS to build the extension package.
+
+The `jlpm` command is JupyterLab's pinned version of
+[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
+`yarn` or `npm` in lieu of `jlpm` below.
+
+```bash
+# Clone the repo to your local environment
+# Change directory to the ipysheet directory
+# Install package in development mode
+pip install -e .
+# Link your development version of the extension with JupyterLab
+jupyter labextension develop . --overwrite
+# Rebuild extension Typescript source after making changes
+jlpm run build
+```
+
+You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
+
+```bash
+# Watch the source directory in one terminal, automatically rebuilding when needed
+jlpm run watch
+# Run JupyterLab in another terminal
+jupyter lab
+```
+
+With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
+
+By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
+
+```bash
+jupyter lab build --minimize=False
+```
+
+### Development uninstall
+
+```bash
+pip uninstall ipysheet
+```
+
+In development mode, you will also need to remove the symlink created by `jupyter labextension develop`
+command. To find its location, you can run `jupyter labextension list` to figure out where the `labextensions`
+folder is located. Then you can remove the symlink named `ipysheet` within that folder.
+
+
+%package help
+Summary:	Development documents and examples for ipysheet
+Provides:	python3-ipysheet-doc
+%description help
+# ipysheet
+
+# WARNING
+
+Due to [Handsontable licensing changes](https://handsontable.com/blog/articles/2019/3/handsontable-drops-open-source-for-a-non-commercial-license) ipysheet is stuck witch the outdated Handsontable version 6.2.2 (open-source).
+We recommend not using ipysheet anymore. We suggest an alternative like [ipydatagrid](https://github.com/bloomberg/ipydatagrid).
+
+Spreadsheet in the Jupyter notebook:
+
+   * Try it out using binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/QuantStack/ipysheet/stable?filepath=docs%2Fsource%2Findex.ipynb)
+   * Or check out the documentation at [https://ipysheet.readthedocs.io/](https://ipysheet.readthedocs.io/en/stable/)
+
+**Create a table and drive a value using ipywidgets:**
+
+![Slider Screencast](docs/source/ipysheet_slider.gif)
+
+**Perform a calculation on slider change:**
+
+![Slider Calculation Screencast](docs/source/ipysheet_slider_calculation.gif)
+
+**Change cell style depending on the value using renderers:**
+
+![Conditional formatting](docs/source/conditional_formatting.png)
+
+**Populate table using cell ranges:**
+
+![Cell Ranges Screencast](docs/source/ipysheet_cell_range.gif)
+
+# Installation
+
+With conda:
+
+```
+$ conda install -c conda-forge ipysheet
+```
+
+With pip:
+
+```
+$ pip install ipysheet
+```
+
+### Development install
+
+Note: You will need NodeJS to build the extension package.
+
+The `jlpm` command is JupyterLab's pinned version of
+[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
+`yarn` or `npm` in lieu of `jlpm` below.
+
+```bash
+# Clone the repo to your local environment
+# Change directory to the ipysheet directory
+# Install package in development mode
+pip install -e .
+# Link your development version of the extension with JupyterLab
+jupyter labextension develop . --overwrite
+# Rebuild extension Typescript source after making changes
+jlpm run build
+```
+
+You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
+
+```bash
+# Watch the source directory in one terminal, automatically rebuilding when needed
+jlpm run watch
+# Run JupyterLab in another terminal
+jupyter lab
+```
+
+With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
+
+By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
+
+```bash
+jupyter lab build --minimize=False
+```
+
+### Development uninstall
+
+```bash
+pip uninstall ipysheet
+```
+
+In development mode, you will also need to remove the symlink created by `jupyter labextension develop`
+command. To find its location, you can run `jupyter labextension list` to figure out where the `labextensions`
+folder is located. Then you can remove the symlink named `ipysheet` within that folder.
+
+
+%prep
+%autosetup -n ipysheet-0.7.0
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-ipysheet -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b4bbbb3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+62afa07670a8971f125f90c645e6c4ca  ipysheet-0.7.0.tar.gz